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Case Study 03 · GTM & SalesComing soon

AI GTM & Sales Agent Pipeline

Lead sourcing, enrichment, personalization, outbound automation, reply classification, and CRM routing using AI workflows.

ApifyApolloInstantlyOpenAILangChainWebhooksCRMLead Scoring

What this system does

  • Sources leads from Apify scrapers and Apollo searches into a normalized pipeline.
  • Enriches every contact with firmographic, technographic, and intent signals.
  • Generates personalized first-touch copy with structured LLM prompts and brand guardrails.
  • Sends and tracks outbound through Instantly with deliverability monitoring.
  • Classifies replies (interested, objection, unsubscribe, OOO) and routes to the right CRM stage.
  • Scores leads continuously based on engagement and enrichment signals.

Why it's an AI system, not just sequences

  • Personalization is grounded in real enrichment data, not generic merge fields.
  • Reply classification uses an LLM with structured output and confidence thresholds.
  • Low-confidence replies get queued for human review instead of mis-routed.
  • Every prompt, output, and routing decision is logged for review and iteration.

Status

Full case study with workflow diagrams and prompt patterns is in progress. Get in touch for a walkthrough.

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